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Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation

Borst, Fabian ; Strobel, Nina ; Kohne, Thomas ; Weigold, Matthias (2021):
Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation. (Publisher's Version)
In: Energies, 14 (6), MDPI, e-ISSN 1996-1073,
DOI: 10.26083/tuprints-00019342,
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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation
Language: English
Abstract:

The increasing share of volatile, renewable energies, such as wind and solar power, leads to challenges in the stabilization of power grids and requires more flexibility in future energy systems. This article addresses the flexibilization of the consumer side and presents a simulation-based method for the technical and economic investigation of energy flexibility measures in industrial steam supply systems. The marketing of three different energy-flexibility measures—bivalence, inherent energy storage and adjusting process parameters—both at the spot market and at the balancing power market, are investigated from a technical as well as an economic point of view. Furthermore, the simulation-based methodology also considers pressure and temperature fluctuation induced by energy-flexibility measures. First, different energy-flexibility measures for industrial steam supply systems are introduced. Then, the physical modeling of the steam generation, distribution, and consumption as well as measure-specific control strategies will be discussed. Finally, the methodology is applied to a steam supply system of a chemical company. It is shown that the investigated industrial steam supply system shows energy-flexibility potentials up to 10 MW at peak and an annual average of 5.6 MW, which highly depend on consumer behavior and flexibility requirements.

Journal or Publication Title: Energies
Journal volume: 14
Number: 6
Publisher: MDPI
Collation: 20 Seiten
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
Date Deposited: 23 Aug 2021 12:08
Last Modified: 23 Aug 2021 12:08
DOI: 10.26083/tuprints-00019342
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-193423
Additional Information:

Keywords: demand-side management; power-to-heat; dynamic simulation

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19342
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